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The Turin Shroud is traditionally considered the burial cloth in which the body of Jesus Christ was enveloped after his dead about 2000 years ago. Here we report the main findings from the analysis of genomic DNA extracted from dust particles, which were vacuumed from the backside of Turin Shroud corresponding to internal parts of the body image and the lateral edge used for its radiocarbon dating. Specific plant chloroplast DNA (cpDNA) and human mitochondrial DNA (mtDNA) target regions were analyzed to identify plant taxonomic entities and human genetic lineages. Plant species native to the Mediterranean countries and widespread in the Middle East (Vavilov’s centers of origin V and IV, respectively) were identified, in addition to others living in temperate and boreal regions of the northern hemisphere or having their primary center of origin and distribution in central and eastern Asia (mainly China, I) or native only to the Americas. Since many of these species were introduced into Europe after the Marco Polo travels and Christopher Columbus voyages, our findings suggest a geographic scenario for which only some of the detected plant cpDNAs are compatible with the supposed origin and trail of the relic, whereas others are likely from a historical interval later than the Medieval period. As for human mtDNAs, our analyses allowed the detection of sequences from multiple subjects, which clustered into a number of western Eurasian haplogroups, including some known to be typical of western Europe (H1 and H3), the Near East (H13 and H33), the Arabian Peninsula (R0a) and the Indian sub-continent (M56 and R8). Such mitogenome diversity could be due to contacts with subjects of different ethnic origins in recent centuries, but it is also compatible with the historic path followed by the Turin Shroud during its supposed 2000-year journey from the Near East. Furthermore it raises the possibility of an Indian manufacture of the linen cloth.

Abstract Background Olea europaea L. is a traditional tree crop of the Mediterranean basin with a worldwide economical high impact. Differently from other fruit tree species, little is known about the physiological and molecular basis of the olive fruit development and a few sequences of genes and gene products are available for olive in public databases. This study deals with the identification of large sets of differentially expressed genes in developing olive fruits and the subsequent computational annotation by means of different software. Results mRNA from fruits of the cv. Leccino sampled at three different stages [i.e., initial fruit set (stage 1), completed pit hardening (stage 2) and veraison (stage 3)] was used for the identification of differentially expressed genes putatively involved in main processes along fruit development. Four subtractive hybridization libraries were constructed: forward and reverse between stage 1 and 2 (libraries A and B), and 2 and 3 (libraries C and D). All sequenced clones (1,132 in total) were analyzed through BlastX against non-redundant NCBI databases and about 60% of them showed similarity to known proteins. A total of 89 out of 642 differentially expressed unique sequences was further investigated by Real-Time PCR, showing a validation of the SSH results as high as 69%. Library-specific cDNA repertories were annotated according to the three main vocabularies of the gene ontology (GO): cellular component, biological process and molecular function. BlastX analysis, GO terms mapping and annotation analysis were performed using the Blast2GO software, a research tool designed with the main purpose of enabling GO based data mining on sequence sets for which no GO annotation is yet available. Bioinformatic analysis pointed out a significantly different distribution of the annotated sequences for each GO category, when comparing the three fruit developmental stages. The olive fruit-specific transcriptome dataset was used to query all known KEGG (Kyoto Encyclopaedia of Genes and Genomes) metabolic pathways for characterizing and positioning retrieved EST records. The integration of the olive sequence datasets within the MapMan platform for microarray analysis allowed the identification of specific biosynthetic pathways useful for the definition of key functional categories in time course analyses for gene groups. Conclusion The bioinformatic annotation of all gene sequences was useful to shed light on metabolic pathways and transcriptional aspects related to carbohydrates, fatty acids, secondary metabolites, transcription factors and hormones as well as response to biotic and abiotic stresses throughout olive drupe development. These results represent a first step toward both functional genomics and systems biology research for understanding the gene functions and regulatory networks in olive fruit growth and ripening.

Abstract Background After 10-year-use of AFLP (Amplified Fragment Length Polymorphism) technology for DNA fingerprinting and mRNA profiling, large repertories of genome- and transcriptome-derived sequences are available in public databases for model, crop and tree species. AFLP marker systems have been and are being extensively exploited for genome scanning and gene mapping, as well as cDNA-AFLP for transcriptome profiling and differentially expressed gene cloning. The evaluation, annotation and classification of genomic markers and expressed transcripts would be of great utility for both functional genomics and systems biology research in plants. This may be achieved by means of the Gene Ontology (GO), consisting in three structured vocabularies (i.e. ontologies) describing genes, transcripts and proteins of any organism in terms of their associated cellular component, biological process and molecular function in a species-independent manner. In this paper, the functional annotation of about 8,000 AFLP-derived ESTs retrieved in the NCBI databases was carried out by using GO terminology. Results Descriptive statistics on the type, size and nature of gene sequences obtained by means of AFLP technology were calculated. The gene products associated with mRNA transcripts were then classified according to the three main GO vocabularies. A comparison of the functional content of cDNA-AFLP records was also performed by splitting the sequence dataset into monocots and dicots and by comparing them to all annotated ESTs of Arabidopsis and rice, respectively. On the whole, the statistical parameters adopted for the in silico AFLP-derived transcriptome-anchored sequence analysis proved to be critical for obtaining reliable GO results. Such an exhaustive annotation may offer a suitable platform for functional genomics, particularly useful in non-model species. Conclusion Reliable GO annotations of AFLP-derived sequences can be gathered through the optimization of the experimental steps and the statistical parameters adopted. The Blast2GO software was shown to represent a comprehensive bioinformatics solution for an annotation-based functional analysis. According to the whole set of GO annotations, the AFLP technology generates thorough information for angiosperm gene products and shares common features across angiosperm species and families. The utility of this technology for structural and functional genomics in plants can be implemented by serial annotation analyses of genome-anchored fragments and organ/tissue-specific repertories of transcriptome-derived fragments.

Key message: ncRNA PN_LNC_N13 shows contrasting expression in reproductive organs of sexual and apomictic Paspalum notatum genotypes. Abstract: Apomictic plants set genetically maternal seeds whose embryos derive by parthenogenesis from unreduced egg cells, giving rise to clonal offspring. Several Paspalum notatum apomixis related genes were identified in prior work by comparative transcriptome analyses. Here, one of these candidates (namely N13) was characterized. N13 belongs to a Paspalum gene family including 30-60 members, of which at least eight are expressed at moderate levels in florets. The sequences of these genes show no functional ORFs, but include segments of different protein coding genes. Particularly, N13 shows partial identity to maize gene BT068773 ( RESPONSE REGULATOR 6). Secondary structure predictions as well as mature miRNA and target cleavage detection suggested that N13 is not a miRNA precursor. Moreover, N13 family members produce abundant 24-nucleotide small RNAs along extensive parts of their sequences. Surveys in the GREENC and CANTATA databases indicated similarity with plant long non-coding RNAs (lncRNAs) involved in splicing regulation; consequently, N13 was renamed as PN_LNC_N13. The Paspalum BT068773 predicted ortholog ( N13TAR) originates floral transcript variants shorter than the canonical maize isoform and with possible structural differences between the apomictic and sexual types. PN_LNC_N13 is expressed only in apomictic plants and displays quantitative representation variation across reproductive developmental stages. However, PN_LNC_N13-like homologs and/or its derived sRNAs showed overall a higher representation in ovules of sexual plants at late premeiosis. Our results suggest the existence of a whole family of N13-like lncRNAs possibly involved in splicing regulation, with some members characterized by differential activity across reproductive types. [ABSTRACT FROM AUTHOR]